Operations Management
Pre-Test Questions
Course Introduction
Operations Management is a foundational course that explores the principles and practices involved in the efficient transformation of resources into goods and services. It covers key topics such as process analysis, capacity planning, quality control, inventory management, supply chain coordination, and project management. Students will learn how organizations design, operate, and improve production systems to deliver value to customers while balancing cost, quality, and responsiveness. Through case studies, analytical tools, and real-world examples, the course equips students with strategies to address operational challenges and drive organizational performance in diverse industries.
Recommended Textbook
Statistics for Business and Economics 11th Edition by
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David R. Anderson
Chapter 1: Data and Statistics
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Sample Questions
Q1) For ease of data entry into a university database,1 denotes that the student is an undergraduate and 2 indicates that the student is a graduate student.In this case data are
A)categorical
B)quantitative
C)either categorical or quantitative
D)neither categorical nor quantitative
Answer: A
Q2) Ordinary arithmetic operations are meaningful
A)only with categorical data
B)only with quantitative data
C)either with quantitative or categorical data
D)None of these alternatives is correct.
Answer: B
Q3) Data collected at the same,or approximately the same,point in time are
A)time series data
B)approximate time series data
C)crossectional data
D)approximate data
Answer: C
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Chapter 2: Descriptive Statistics: Tabular and Graphical Presentations
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Sample Questions
Q1) Refer to Exhibit 2-3.The class width of the above distribution is A)0 to 100
B)20
C)80
D)5
Answer: B
Q2) Refer to Exhibit 2-1.The number of students who work 19 hours or less is A)80 B)100
C)200
D)400
Answer: B
Q3) Refer to Exhibit 2-3.The lower limit of the first class is A)5
B)80
C)0
D)20
Answer: C
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Chapter 3: Descriptive Statistics: Numerical Measures
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Sample Questions
Q1) Refer to Exhibit 3-6.The mean is
A)84
B)85
C)86
D)87
Answer: D
Q2) Since the population size is always larger than the sample size,then the sample statistic
A)can never be larger than the population parameter
B)can never be equal to the population parameter
C)can be smaller,larger,or equal to the population parameter
D)can never be smaller than the population parameter
Answer: C
Q3) Which of the following is not a measure of central location?
A)mean
B)median
C)variance
D)mode
Answer: C
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Chapter 4: Introduction to Probability
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Sample Questions
Q1) From nine cards numbered 1 through 9,two cards are drawn.Consider the selection and classification of the cards as odd or even as an experiment.How many sample points are there for this experiment?
A)2
B)3
C)4
D)9
Q2) If X and Y are mutually exclusive events with P(X)= 0.295,P(Y)= 0.32,then P(X | Y)=
A)0.0944
B)0.6150
C)1.0000
D)0.0000
Q3) Initial estimates of the probabilities of events are known as A)sets
B)posterior probabilities
C)conditional probabilities
D)prior probabilities
Q4) A committee of 4 is to be selected from a group of 12 people.How many possible committees can be selected?
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Chapter 5: Discrete Probability Distributions
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Sample Questions
Q1) A production process produces 90% non-defective parts.A sample of 10 parts from the production process is selected.
a.What is the probability that the sample will contain 7 non-defective parts?
b.What is the probability that the sample will contain at least 4 defective parts?
c.What is the probability that the sample will contain less than 5 non-defective parts?
d.What is the probability that the sample will contain no defective parts?
Q2) Compute the hypergeometric probabilities for the following values of n and x.Assume N = 8 and r = 5.
a.n = 5,x = 2
b.n = 6,x = 4
c.n = 3,x = 0
d.n = 3,x = 3
Q3) The expected value of a random variable is
A)the value of the random variable that should be observed on the next repeat of the experiment
B)the value of the random variable that occurs most frequently
C)the square root of the variance
D)None of these alternatives is correct.
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Chapter 6: Continuous Probability Distributions
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Sample Questions
Q1) The salaries at a corporation are normally distributed with an average salary of $19,000 and a standard deviation of $4,000.
a.What is the probability that an employee will have a salary between $12,520 and $13,480?
b.What is the probability that an employee will have a salary more than $11,880?
c.What is the probability that an employee will have a salary less than $28,440?
Q2) Approximate the following binomial probabilities by the use of normal approximation.
a.P(X = 18,n = 50,p = 0.3)
b.P(X\(\le\) 15,n = 50,p = 0.3)
c.P(X\(\le\)12,n = 50,p = 0.3)
d.P(12\(\le\)X\(\le\)18,n = 50,p = 0.3)
Q3) A continuous random variable is uniformly distributed between a and b.The probability density function between a and b is A)zero
B)(a - b)
C)(b - a)
D)1/(b - a)
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Chapter 7: Sampling and Sampling Distributions
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Sample Questions
Q1) In a local university,10% of the students live in the dormitories.A random sample of 100 students is selected for a particular study.
a.What is the probability that the sample proportion (the proportion living in the dormitories)is between 0.172 and 0.178?
b.What is the probability that the sample proportion (the proportion living in the dormitories)is greater than 0.025?
Q2) Random samples of size 17 are taken from a population that has 200 elements,a mean of 36,and a standard deviation of 8.The mean and the standard deviation of the sampling distribution of the sample means are
A)8.7 and 1.94
B)36 and 1.94
C)36 and 1.86
D)36 and 8
Q3) Refer to Exhibit 7-1.The standard error of the mean equals
A)0.3636
B)0.0331
C)0.0200
D)4.000
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Chapter 8: Interval Estimation
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Sample Questions
Q1) Refer to Exhibit 8-2.The standard error of the mean is
A)22.00
B)96.60
C)4.24
D)2.00
Q2) The proprietor of a boutique in New York wanted to determine the average age of his customers.A random sample of 53 customers revealed an average age of 28 years with a standard deviation of 4 years.Determine a 98% confidence interval estimate for the average age of all his customers.
Q3) It is known that the variance of a population equals 1296.A random sample of 144 observations is going to be taken from the population.
a.With a 0.95 probability,what statement can be made about the size of the margin of error?
b.With a 0.95 probability,how large of a sample would have to be taken to provide a margin of error of 6 or less?
Q4) In a random sample of 400 registered voters,120 indicated they plan to vote for Candidate A.Determine a 95% confidence interval for the proportion of all the registered voters who will vote for Candidate A.
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Chapter 9: Hypothesis Tests
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Sample
Questions
Q1) A student believes that the average grade on the statistics final examination was 87.A sample of 36 final examinations was taken.The average grade in the sample was 83.96 with a standard deviation of 12.
a.State the null and alternative hypotheses.
b.Using the critical value approach,test the hypotheses at the 5% level of significance.
c.Using the p-value approach,test the hypotheses at the 5% level of significance.
Q2) For a one-tailed test (lower tail)with 22 degrees of freedom at 95% confidence,the value of t =
A)-1.383
B)1.383
C)-1.717
D)-1.721
Q3) In hypothesis testing,
A)the smaller the Type I error,the smaller the Type II error will be
B)the smaller the Type I error,the larger the Type II error will be
C)Type II error will not be effected by Type I error
D)the sum of Type I and Ttype II errors must equal to 1
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Chapter 10: Statistical Inference About Means and
Proportions With Two Populations
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Sample Questions
Q1) Refer to Exhibit 10-12.The point estimate for the difference between the proportions is A)-0.02
B)0.048
C)100
D)66
Q2) Refer to Exhibit 10-2.The null hypothesis to be tested is H<sub>0</sub>: \(\mu\)<sub>d</sub> = 0.The test statistic is
A)-1.96
B)1.96
C)0
D)1.645
Q3) Refer to Exhibit 10-1.If you are interested in testing whether or not the average salary of males is significantly greater than that of females,the test statistic is A)2.0
B)1.5
C)1.96
D)1.645
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Chapter 11: Inferences About Population Variances
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Sample Questions
Q1) We are interested in testing whether the variance of a population is significantly more than 625.The null hypothesis for this test is
A)H<sub>o</sub>: , \(\sigma\)<sup>2</sup> > 625
B)H<sub>o</sub>: . \(\sigma\)<sup>2</sup> < 625
C)H<sub>o</sub>: \(\sigma\)<sup>2</sup> > 625
D)H<sub>o</sub>: \(\sigma\)<sup>2</sup> < 25
Q2) A lumber company has claimed that the standard deviation for the lengths of their 6 foot boards is 0.5 inches or less.To test their claim,a random sample of 17 six-foot boards is selected;and it is determined that the standard deviation of the sample is 0.4.Do the results of the sample support the company's claim? Use \(\alpha\) = 0.1.
Q3) The average grade of a sample of 30 students on their second statistics examination was 85 with a standard deviation of 11.Is the variance of the population significantly more than 80? Use a 0.05 level of significance.
Q4) A sample of 16 students showed that the variance in the number of hours they spend studying is 25.At 95% confidence,test to see if the variance of the population is significantly different from 30.Use the critical value approach.
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Chapter 12: Tests of Goodness of Fit and Independence
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Sample Questions
Q1) Refer to Exhibit 12-5.The p-value is
A)between .1 and .05
B)between .05 and .025
C)between .025 and .01
D)less than 0.005
Q2) Refer to Exhibit 12-1.The number of degrees of freedom associated with this problem is
A)150
B)149
C)2
D)3
Q3) Refer to Exhibit 12-5.The expected number of adults who prefer coffee is
A)0.25
B)0.33
C)150
D)200
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Chapter 13: Analysis of Variance and Experimental Design
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Sample Questions
Q1) Refer to Exhibit 13-1.The mean square between treatments (MSTR)equals
A)400
B)500
C)1,687.5
D)2,250
Q2) Refer to Exhibit 13-2.The null hypothesis
A)should be rejected
B)should not be rejected
C)should be revised
D)None of these alternatives is correct.
Q3) Refer to Exhibit 13-1.The null hypothesis
A)should be rejected
B)should not be rejected
C)was designed incorrectly
D)None of these alternatives is correct.
Q4) In an analysis of variance problem if SST = 120 and SSTR = 80,then SSE is A)200
B)40
C)80
D)120
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Chapter 14: Simple Linear Regression
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Sample Questions
Q1) If the coefficient of correlation is 0.8,the percentage of variation in the dependent variable explained by the variation in the independent variable is
A)0.80%
B)80%
C)0.64%
D)64%
Q2) If the coefficient of correlation is 0.90,then the coefficient of determination
A)is also 0.9
B)is either 0.81 or -0.81
C)can be either negative or positive
D)must be 0.81
Q3) In a regression and correlation analysis if r<sup>2</sup> = 1,then
A)SSE must also be equal to one
B)SSE must be equal to zero
C)SSE can be any positive value
D)SSE must be negative
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Chapter 15: Multiple Regression
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Sample Questions
Q1) Refer to Exhibit 15-6.The sum of squares due to error (SSE)equals
A)37.33
B)485.3
C)4,853
D)6,308.9
Q2) Refer to Exhibit 15-1.The computed F statistics for testing the significance of the above model is
A)1.500
B)20.00
C)0.600
D)0.6667
Q3) Refer to Exhibit 15-2.To test for the significance of the model,the test statistic F is
A)2.33
B)0.70
C)17.5
D)1.75
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Chapter 16: Regression Analysis: Model Building
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Sample Questions
Q1) Refer to Exhibit 16-1.The coefficient of X<sub>2</sub>
A)is significant
B)is not significant
C)can not be tested,because not enough information is provided
D)None of these alternatives is correct.
Q2) Refer to Exhibit 16-1.The test statistic for testing the significance of the model is
A)0.730
B)18.926
C)3.703
D)1.369
Q3) Refer to Exhibit 16-2.The degrees of freedom associated with SST are A)24
B)6
C)19
D)None of these alternatives is correct.
Q4) A regression model with one independent variable,X<sub>1</sub>,resulted in an SSE of 50.When a second independent variable,X<sub>2</sub>,was added to the model,the SSE was reduced to 40.At \(\alpha\) = 0.05,determine if X<sub>2</sub> contributes significantly to the model.The sample size for both models was 30.
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Chapter 17: Index Numbers
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Sample Questions
Q1) Consumer Price Index is
A)a weighted aggregate price index where the weight for each item is its current-period quantity.
B)a weighted aggregate price index where the weight for each item is its last-period quantity.
C)an index that is designed to measure changes in quantities over time.
D)an index that is designed to measure changes in production levels over time.
Q2) An index that is designed to measure changes in quantities over time is the
A)Aggregate price index
B)Quantity index
C)Relative quantity index
D)Index of Industries
Q3) The quantity index is an index that is designed to measure changes in
A)the ratio of quantity divided by price over time
B)the ratio of price divided by quantity over time
C)quantity over time
D)price over time
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Chapter 18: Forecasting
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Sample Questions
Q1) Refer to Exhibit 18-2.The intercept,b<sub>0</sub>,is
A)2.5
B)2.0
C)1.0
D)1.25
Q2) A method of smoothing a time series that can be used to identify the combined trend/cyclical component is
A)the moving average
B)the percent of trend
C)exponential smoothing
D)the trend/cyclical index
Q3) The trend component is easy to identify by using A)moving averages
B)exponential smoothing
C)regression analysis
D)the Delphi approach
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Chapter 19: Nonparametric Methods
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Sample Questions
Q1) A sign test is a
A)parametric method for determining the differences between two populations based on two matched samples
B)nonparametric method for determining the differences between two populations based on two matched samples
C)nonparametric method for determining the differences between two or more populations based on two or more matched samples
D)parametric method for determining the differences between two or more populations based on two or more matched samples
Q2) Refer to Exhibit 19-3.The p-value for this test is
A)0.4332
B)0.8664
C)0.0668
D)0.1336
Q3) Refer to Exhibit 19-2.The null hypothesis that is being tested is
A)H<sub>0</sub>: \(\mu\) = 5
B)H<sub>0</sub>: \(\mu\) = 0.5
C)H<sub>0</sub>: P = 5
D)H<sub>0</sub>: P = 0.5
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Chapter 20: Statistical Methods for Quality Control
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Sample Questions
Q1) A production process is considered in control if no more than 4% of the items produced are defective.Samples of size 100 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the P chart.
Q2) A group of items such as incoming shipments of raw material is called a(n)
A)sample plan
B)incoming control
C)lot
D)None of these alternatives is correct.
Q3) The upper and lower control limits of the proportions of defectives of a process are 0.33 and 0.27.
a.What has been the proportion of defectives in this process?
b.What has been the sample size?
Q4) If the lower-control limit of a P chart is negative,
A)a mistake has been made in the computations
B)use the absolute value of the lower limit
C)it is set to zero
D)None of these alternatives is correct.
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Chapter 21: Decision Analysis
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Sample Questions
Q1) Nodes indicating points where an uncertain event will occur are known as
A)decision nodes
B)chance nodes
C)marginal nodes
D)conditional nodes
Q2) New information obtained through research or experimentation that enables an updating or revision of the state-of-nature probabilities is
A)population information
B)sampling without replacement
C)sample information
D)conditional information
Q3) Refer to Exhibit 21-3.The expected monetary value of the best alternative equals
A)13,000
B)14,000
C)15,000
D)16,000
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Chapter 22: Sample Survey
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Sample Questions
Q1) A survey of a subset of a population is called a
A)sample survey
B)target survey
C)sampled population
D)survey of element
Q2) Which of the following is(are)the most common type(s)of surveys?
A)only mail surveys
B)only telephone surveys
C)only personal interviews
D)All of these answers are correct.
Q3) Refer to Exhibit 22-3.An approximate 95% confidence interval for the population mean is
A)395 to 405
B)380 to 420
C)360 to 440
D)390 to 410
Q4) We are interested in selecting a sample from a population of size 4,000 in order to develop an approximate 95% confidence interval estimate of the population mean.A pilot study has resulted in a standard deviation of 600.What should be the sample size if we do not want the sampling error to exceed 200?
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